Quantitative Economics with R A Data Science Approach /: A Data Science Approach. (2020)
- Record Type:
- Book
- Title:
- Quantitative Economics with R A Data Science Approach /: A Data Science Approach. (2020)
- Main Title:
- Quantitative Economics with R A Data Science Approach
- Further Information:
- Note: By Vikram Dayal.
- Other Names:
- Dayal, Vikram
- Contents:
- Ch 1 Introduction -- Ch 2 R and RStudio -- Ch 3 Getting data into R -- Ch 4 Wrangling and graphing data -- Ch 5 Functions -- Ch 6 Matrices -- Ch 7 Probability and statistical inference -- Ch 8 Causal inference -- Ch 9 Solow model and basic facts of growth -- Ch 10 Causal inference for growth -- Ch 11 Graphing and simulating basic time series -- Ch 12 Simple examples: forecasting and causal inference -- Ch 13 Generalized additive models -- Ch 14 Tree models.
- Publisher Details:
- Singapore : Springer Singapore Imprint: Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (XV, 326 pages), 300 illustrations, 89 illustrations in color
- Subjects:
- 519
Game theory
Economic theory
Statistics
Computer simulation
Sociology--Research - Languages:
- English
- ISBNs:
- 9789811520358
9811520356 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.489761
- Ingest File:
- 03_050.xml